2,201 to 2,225 of 9,888 Permanent Azure Jobs

Familiarity with scripting (bash, ant, Python/Perl scripts on LINUX RHEL etc.) to automate operational tasks 5. Cloud & Container Platforms Exposure to public cloud environments (AWS, GCP, or Azure) Experience in container orchestration, resource management, and monitoring 6. Problem Solving & Out-of-the-Box Thinking Ability to approach environment engineering challenges creatively Track record of independently driving POCs … or automation initiatives Nice to have Familiarity with cloud-based auto-scaling (AWS, Azure, or GCP) Experience with Murex C2/openconnect would be an added advantage Languages English: B2 Upper Intermediate Seniority Senior More ❯

Familiarity with scripting (bash, ant, Python/Perl scripts on LINUX RHEL etc.) to automate operational tasks 5. Cloud & Container Platforms Exposure to public cloud environments (AWS, GCP, or Azure) Experience in container orchestration, resource management, and monitoring 6. Problem Solving & Out-of-the-Box Thinking Ability to approach environment engineering challenges creatively Track record of independently driving POCs … or automation initiatives Nice to have Familiarity with cloud-based auto-scaling (AWS, Azure, or GCP) Experience with Murex C2/openconnect would be an added advantage Languages English: B2 Upper Intermediate Seniority Senior More ❯

ll design, build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. Key Responsibilities Design and provision secure, scalable cloud infrastructure (AWS, Azure, or GCP) using Python-based Infrastructure as Code (Terraform or Pulumi). Build and optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps … support for complex issues and advise on modern engineering practices for large-scale projects. Skills & Experience Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). More ❯

ll design, build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. Key Responsibilities Design and provision secure, scalable cloud infrastructure (AWS, Azure, or GCP) using Python-based Infrastructure as Code (Terraform or Pulumi). Build and optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps … support for complex issues and advise on modern engineering practices for large-scale projects. Skills & Experience Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). More ❯

Familiarity with scripting (bash, ant, Python/Perl scripts on LINUX RHEL etc.) to automate operational tasks 5. Cloud & Container Platforms Exposure to public cloud environments (AWS, GCP, or Azure) Experience in container orchestration, resource management, and monitoring 6. Problem Solving & Out-of-the-Box Thinking Ability to approach environment engineering challenges creatively Track record of independently driving POCs … or automation initiatives Nice to have Familiarity with cloud-based auto-scaling (AWS, Azure, or GCP) Experience with Murex C2/openconnect would be an added advantage Languages English: B2 Upper Intermediate Seniority Senior More ❯

Familiarity with scripting (bash, ant, Python/Perl scripts on LINUX RHEL etc.) to automate operational tasks 5. Cloud & Container Platforms Exposure to public cloud environments (AWS, GCP, or Azure) Experience in container orchestration, resource management, and monitoring 6. Problem Solving & Out-of-the-Box Thinking Ability to approach environment engineering challenges creatively Track record of independently driving POCs … or automation initiatives Nice to have Familiarity with cloud-based auto-scaling (AWS, Azure, or GCP) Experience with Murex C2/openconnect would be an added advantage Languages English: B2 Upper Intermediate Seniority Senior More ❯

Familiarity with scripting (bash, ant, Python/Perl scripts on LINUX RHEL etc.) to automate operational tasks 5. Cloud & Container Platforms Exposure to public cloud environments (AWS, GCP, or Azure) Experience in container orchestration, resource management, and monitoring 6. Problem Solving & Out-of-the-Box Thinking Ability to approach environment engineering challenges creatively Track record of independently driving POCs … or automation initiatives Nice to have Familiarity with cloud-based auto-scaling (AWS, Azure, or GCP) Experience with Murex C2/openconnect would be an added advantage Languages English: B2 Upper Intermediate Seniority Senior More ❯

Familiarity with scripting (bash, ant, Python/Perl scripts on LINUX RHEL etc.) to automate operational tasks 5. Cloud & Container Platforms Exposure to public cloud environments (AWS, GCP, or Azure) Experience in container orchestration, resource management, and monitoring 6. Problem Solving & Out-of-the-Box Thinking Ability to approach environment engineering challenges creatively Track record of independently driving POCs … or automation initiatives Nice to have Familiarity with cloud-based auto-scaling (AWS, Azure, or GCP) Experience with Murex C2/openconnect would be an added advantage Languages English: B2 Upper Intermediate Seniority Senior More ❯

web applications using ASP.NET Core MVC, Blazor, or similar technologies. Knowledge of front-end technologies like HTML, CSS, and JavaScript is also valuable. Experience with cloud platforms such as Azure or AWS, including services for hosting applications, databases, and serverless functions. Familiarity with DevOps practices and tools like Azure DevOps or Jenkins is highly desirable. Demonstrated experience working More ❯

optimize ETL pipelines for large-scale data processing Solid understanding of causal inference, time series forecasting, and statistical modeling Hands-on experience with cloud computing platforms (e.g., AWS, GCP, Azure) and big data tools Knowledge in natural language processing (NLP), reinforcement learning, and graph analytics is preferable Responsibilities: Position Description As a Senior Data Scientist at Cinemo, you will … product managers, and executives to translate data insights into tangible business and product improvements Develop scalable algorithms and automated data processing frameworks to optimize analytics workflows Technologies: AI AWS Azure Big Data Cloud ETL GCP Support Machine Learning Network PyTorch Python SQL Spark TensorFlow More: International crossfunctional teams working on cutting edge multimedia solutions. last updated 45 week of More ❯

you want scope for growth without going “post-technical.” What you’ll do Design and build modern data platforms using Databricks, Apache Spark, Snowflake, and cloud-native services (AWS, Azure, or GCP). Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources. Model and optimise data for performance, visibility, and downstream analytics/… HBase also useful). Experience integrating large, messy datasets into reliable, scalable data products. Strong understanding of data modelling, orchestration, and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes). A craftsman’s mindset: you care about code quality, maintainability, and doing things the right way. What you’ll get at Sahaj Unlimited More ❯

you want scope for growth without going “post-technical.” What you’ll do Design and build modern data platforms using Databricks, Apache Spark, Snowflake, and cloud-native services (AWS, Azure, or GCP). Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources. Model and optimise data for performance, visibility, and downstream analytics/… HBase also useful). Experience integrating large, messy datasets into reliable, scalable data products. Strong understanding of data modelling, orchestration, and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes). A craftsman’s mindset: you care about code quality, maintainability, and doing things the right way. What you’ll get at Sahaj Unlimited More ❯

web applications using ASP.NET Core MVC, Blazor, or similar technologies. Knowledge of front-end technologies like HTML, CSS, and JavaScript is also valuable. Experience with cloud platforms such as Azure or AWS, including services for hosting applications, databases, and serverless functions. Familiarity with DevOps practices and tools like Azure DevOps or Jenkins is highly desirable. Demonstrated experience working More ❯

web applications using ASP.NET Core MVC, Blazor, or similar technologies. Knowledge of front-end technologies like HTML, CSS, and JavaScript is also valuable. Experience with cloud platforms such as Azure or AWS, including services for hosting applications, databases, and serverless functions. Familiarity with DevOps practices and tools like Azure DevOps or Jenkins is highly desirable. Demonstrated experience working More ❯

web applications using ASP.NET Core MVC, Blazor, or similar technologies. Knowledge of front-end technologies like HTML, CSS, and JavaScript is also valuable. Experience with cloud platforms such as Azure or AWS, including services for hosting applications, databases, and serverless functions. Familiarity with DevOps practices and tools like Azure DevOps or Jenkins is highly desirable. Demonstrated experience working More ❯

web applications using ASP.NET Core MVC, Blazor, or similar technologies. Knowledge of front-end technologies like HTML, CSS, and JavaScript is also valuable. Experience with cloud platforms such as Azure or AWS, including services for hosting applications, databases, and serverless functions. Familiarity with DevOps practices and tools like Azure DevOps or Jenkins is highly desirable. Demonstrated experience working More ❯

web applications using ASP.NET Core MVC, Blazor, or similar technologies. Knowledge of front-end technologies like HTML, CSS, and JavaScript is also valuable. Experience with cloud platforms such as Azure or AWS, including services for hosting applications, databases, and serverless functions. Familiarity with DevOps practices and tools like Azure DevOps or Jenkins is highly desirable. Demonstrated experience working More ❯

web applications using ASP.NET Core MVC, Blazor, or similar technologies. Knowledge of front-end technologies like HTML, CSS, and JavaScript is also valuable. Experience with cloud platforms such as Azure or AWS, including services for hosting applications, databases, and serverless functions. Familiarity with DevOps practices and tools like Azure DevOps or Jenkins is highly desirable. Demonstrated experience working More ❯

you want scope for growth without going “post-technical.” What you’ll do Design and build modern data platforms using Databricks, Apache Spark, Snowflake, and cloud-native services (AWS, Azure, or GCP). Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources. Model and optimise data for performance, visibility, and downstream analytics/… HBase also useful). Experience integrating large, messy datasets into reliable, scalable data products. Strong understanding of data modelling, orchestration, and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes). A craftsman’s mindset: you care about code quality, maintainability, and doing things the right way. What you’ll get at Sahaj Unlimited More ❯

you want scope for growth without going “post-technical.” What you’ll do Design and build modern data platforms using Databricks, Apache Spark, Snowflake, and cloud-native services (AWS, Azure, or GCP). Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources. Model and optimise data for performance, visibility, and downstream analytics/… HBase also useful). Experience integrating large, messy datasets into reliable, scalable data products. Strong understanding of data modelling, orchestration, and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes). A craftsman’s mindset: you care about code quality, maintainability, and doing things the right way. What you’ll get at Sahaj Unlimited More ❯

you want scope for growth without going “post-technical.” What you’ll do Design and build modern data platforms using Databricks, Apache Spark, Snowflake, and cloud-native services (AWS, Azure, or GCP). Develop robust pipelines for real-time and batch data ingestion from diverse and complex sources. Model and optimise data for performance, visibility, and downstream analytics/… HBase also useful). Experience integrating large, messy datasets into reliable, scalable data products. Strong understanding of data modelling, orchestration, and automation. Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes). A craftsman’s mindset: you care about code quality, maintainability, and doing things the right way. What you’ll get at Sahaj Unlimited More ❯

DevOps Lead - Multi Cloud environment (Azure and AWS) Prestigious client Hybrid working - Manchester I'm on the hunt for a cracking DevOps Lead to support a large-scale IaC Automation project, driving the design and delivery of automated cloud infrastructure pipelines across AWS and Azure.My client operates a complex multi-cloud environment and is expanding its DevOps capability to … IaC pipelines and repositories. Assess current DevOps maturity, toolchains, and automation opportunities. Develop reusable modules using Terraform, CloudFormation, and ARM templates. Build and optimise CI/CD pipelines with Azure DevOps, GitHub Actions, and AWS CodePipeline. Integrate configuration management (Ansible) and monitoring solutions. Produce detailed documentation and deliver knowledge transfer to internal teams You will need Solid DevOps/ More ❯

performance. SDLC and Cloud Infrastructure Management: Oversee the full software development life cycle (SDLC), including planning, development, testing, deployment, and maintenance, ensuring alignment with best practices. Utilize AWS and Azure cloud services effectively for application hosting, scaling, and management, implementing cost-effective and secure cloud-based solutions. Lead the implementation of CI/CD pipelines using tools like Jenkins … or Azure DevOps for streamlined deployments and continuous integration. Client Engagement and Technical Analysis: Collaborate with clients to understand their business needs and translate them into detailed technical requirements and architecture diagrams. Communicate complex technical solutions effectively to both technical and non-technical stakeholders, ensuring alignment and understanding. Participate in project planning sessions, contributing to the development of technical More ❯

end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and … research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical, scalable AI solutions Excellent teamwork and communication skills Full right to work More ❯

end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation, analytics, and … research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical, scalable AI solutions Excellent teamwork and communication skills Full right to work More ❯